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Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma
BACKGROUND: The immune microenvironment is a critical regulator of clear cell renal cell carcinoma (ccRCC) progression. However, the underlying mechanisms the regulatory role of immune-related long non-coding RNAs (irlncRNAs) in the ccRCC tumor microenvironment (TME) are still obscure. Herein, we in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261450/ https://www.ncbi.nlm.nih.gov/pubmed/34295734 http://dx.doi.org/10.21037/tau-21-445 |
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author | Li, Cheng Shan Lu, Zhang Ze Fang, Da Lang Zhou, Wei Jie Wei, Jie |
author_facet | Li, Cheng Shan Lu, Zhang Ze Fang, Da Lang Zhou, Wei Jie Wei, Jie |
author_sort | Li, Cheng Shan |
collection | PubMed |
description | BACKGROUND: The immune microenvironment is a critical regulator of clear cell renal cell carcinoma (ccRCC) progression. However, the underlying mechanisms the regulatory role of immune-related long non-coding RNAs (irlncRNAs) in the ccRCC tumor microenvironment (TME) are still obscure. Herein, we investigated prognostics role of irlncRNAs for ccRCC. METHODS: The raw data of patients with ccRCC were downloaded from The Cancer Genome Atlas (TCGA) database, and immune-related genes were obtained from the ImmPort database. First, we investigated the correlation between the immune-related genes and irlncRNAs. Then, we identified the differentially expressed irlncRNA pairs (ILRPs) between normal and cancer tissue samples, and prognostic model was constructed with the differentially expressed ILRPs. We further explored whether the signature risk scores of ILRPs had a considerable impact on immune cell infiltration. Finally, we performed a drug sensitivity analysis based on risk score. RESULTS: There were 13 upregulated and 40 downregulated irlncRNAs between the ccRCC and normal tissue samples. We further selected the irlncRNAs that significantly affect the prognosis of patients with ccRCC via univariate Cox, lasso regression, and multivariate regression analyses. Twelve ILRPs were used to construct a prognostic signature. The model showed the ILRPs model could be used to assess the prognosis of ccRCC patients. Study of the influence of risk score and clinical characteristics on the prognosis of patients with ccRCC showed risk score to be an independent factor affecting the outcome of ccRCC. We further performed the difference analysis of immune cell abundance between ccRCC and normal tissue samples. The results showed that patients with higher abundance of M0 macrophages, plasma cells, follicular helper T cells, and regulatory T cells (Tregs) had a poor outcome. Finally, we performed a drug sensitivity analysis based on risk score. The results showed that high-risk score patients are sensitive to orafenib, sunitinib, temsirolimus, cisplatin, and gemcitabine. CONCLUSIONS: Our study has developed a novel and reasonable ILPRs model for prognostic prediction, which does not require transcriptional levels to be detected. |
format | Online Article Text |
id | pubmed-8261450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-82614502021-07-21 Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma Li, Cheng Shan Lu, Zhang Ze Fang, Da Lang Zhou, Wei Jie Wei, Jie Transl Androl Urol Original Article BACKGROUND: The immune microenvironment is a critical regulator of clear cell renal cell carcinoma (ccRCC) progression. However, the underlying mechanisms the regulatory role of immune-related long non-coding RNAs (irlncRNAs) in the ccRCC tumor microenvironment (TME) are still obscure. Herein, we investigated prognostics role of irlncRNAs for ccRCC. METHODS: The raw data of patients with ccRCC were downloaded from The Cancer Genome Atlas (TCGA) database, and immune-related genes were obtained from the ImmPort database. First, we investigated the correlation between the immune-related genes and irlncRNAs. Then, we identified the differentially expressed irlncRNA pairs (ILRPs) between normal and cancer tissue samples, and prognostic model was constructed with the differentially expressed ILRPs. We further explored whether the signature risk scores of ILRPs had a considerable impact on immune cell infiltration. Finally, we performed a drug sensitivity analysis based on risk score. RESULTS: There were 13 upregulated and 40 downregulated irlncRNAs between the ccRCC and normal tissue samples. We further selected the irlncRNAs that significantly affect the prognosis of patients with ccRCC via univariate Cox, lasso regression, and multivariate regression analyses. Twelve ILRPs were used to construct a prognostic signature. The model showed the ILRPs model could be used to assess the prognosis of ccRCC patients. Study of the influence of risk score and clinical characteristics on the prognosis of patients with ccRCC showed risk score to be an independent factor affecting the outcome of ccRCC. We further performed the difference analysis of immune cell abundance between ccRCC and normal tissue samples. The results showed that patients with higher abundance of M0 macrophages, plasma cells, follicular helper T cells, and regulatory T cells (Tregs) had a poor outcome. Finally, we performed a drug sensitivity analysis based on risk score. The results showed that high-risk score patients are sensitive to orafenib, sunitinib, temsirolimus, cisplatin, and gemcitabine. CONCLUSIONS: Our study has developed a novel and reasonable ILPRs model for prognostic prediction, which does not require transcriptional levels to be detected. AME Publishing Company 2021-06 /pmc/articles/PMC8261450/ /pubmed/34295734 http://dx.doi.org/10.21037/tau-21-445 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Li, Cheng Shan Lu, Zhang Ze Fang, Da Lang Zhou, Wei Jie Wei, Jie Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title | Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title_full | Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title_fullStr | Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title_full_unstemmed | Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title_short | Immune-related long non-coding RNAs can serve as prognostic biomarkers for clear cell renal cell carcinoma |
title_sort | immune-related long non-coding rnas can serve as prognostic biomarkers for clear cell renal cell carcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261450/ https://www.ncbi.nlm.nih.gov/pubmed/34295734 http://dx.doi.org/10.21037/tau-21-445 |
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